A Comparison of Methods for Determining Forest Composition from High-Spatial-Resolution Remotely Sensed Imagery

Remotely sensed imagery has been used to support forest ecology and management for decades. In modern times, the propagation of high-spatial-resolution image analysis techniques and automated workflows have further strengthened this synergy, leading to the inquiry into more complex, local-scale, eco...

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Bibliographic Details
Main Authors: Benjamin T. Fraser, Russell G. Congalton
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/12/9/1290